Special session on
“Multiobjective metaheuristics for joint scheduling
and maintenance optimization”
Organizers
- Mustapha Nour El Fath, Professor, Université de Laval, Canada, mustapha.nourelfath@gmc.ulaval.ca
- Faicel Hnaien, Associate professor, Université de Technologie de Troyes, ICD-LOSI, France, faicel.hnaien@utt.fr
- Farouk Yalaoui, Professor, Université de Technologie de Troyes, ICD-LOSI, France farouk.yalaoui@utt.fr
Description
Nowadays, the current trends indicate that efficient manufacturing systems must adapt quickly to the market fluctuations (random demand, random lead time, random yield, ...) and the internal perturbation (machine breakdowns, quality problem, …). The machines must be able to manufacture several types of products simultaneously and effectively. In this context, the optimal planning of production with the maximum of the system availability is becoming increasingly worrying for investors, producers and consumers. The challenges of this session are the consideration of new integrated maintenance/scheduling problems. Generally theses two objectives are contradictory, and so to solve the joint scheduling and maintenance problems offers the possibility to find the compromise between theses two objectives. Optimize in this context means using the multi-objective meta-heuristics to identify a set of trade-off solutions.
Topics
The session topics are:
- Production scheduling
- Preventive maintenance
- Corrective maintenance
- Multi-objective optimization